Survey of sequential convex programming and generalized Gauss-Newton methods F Messerer, K Baumgärtner, M Diehl ESAIM: Proceedings and Surveys 71, 64-88, 2021 | 42 | 2021 |
Zero-order optimization-based iterative learning control K Baumgärtner, M Diehl 2020 59th IEEE Conference on Decision and Control (CDC), 3751-3757, 2020 | 8 | 2020 |
Zero-order moving horizon estimation K Baumgärtner, A Zanelli, M Diehl 2019 IEEE 58th Conference on Decision and Control (CDC), 4140-4146, 2019 | 8 | 2019 |
A gradient condition for the arrival cost in moving horizon estimation K Baumgärtner, A Zanelli, M Diehl 2020 European Control Conference (ECC), 1286-1291, 2020 | 5 | 2020 |
A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints F Messerer, K Baumgärtner, M Diehl IEEE Control Systems Letters 7, 1171-1176, 2022 | 4 | 2022 |
Fast nonlinear model predictive control using barrier formulations and squashing with a generalized Gauss-Newton hessian K Baumgärtner, Y Wang, A Zanelli, M Diehl 2022 IEEE 61st Conference on Decision and Control (CDC), 558-563, 2022 | 3 | 2022 |
Zero-order moving horizon estimation for large-scale nonlinear processes K Baumgärtner, J Frey, R Hashemi, M Diehl Computers & Chemical Engineering 154, 107433, 2021 | 3 | 2021 |
The extended Gauss-Newton method for nonconvex loss functions and its application to time-optimal model predictive control K Baumgärtner, M Diehl 2022 American Control Conference (ACC), 4973-4978, 2022 | 2 | 2022 |
Approximate propagation of normal distributions for stochastic optimal control of nonsmooth systems F Messerer, K Baumgärtner, A Nurkanović, M Diehl Nonlinear Analysis: Hybrid Systems 53, 101499, 2024 | 1 | 2024 |
Gauss-Newton Runge-Kutta Integration for Efficient Discretization of Optimal Control Problems with Long Horizons and Least-Squares Costs J Frey, K Baumgärtner, M Diehl arXiv preprint arXiv:2310.20390, 2023 | 1 | 2023 |
Stability Analysis of Nonlinear Model Predictive Control with Progressive Tightening of Stage Costs and Constraints K Baumgärtner, A Zanelli, M Diehl IEEE Control Systems Letters, 2023 | 1 | 2023 |
A Unified Local Convergence Analysis of Differential Dynamic Programming, Direct Single Shooting, and Direct Multiple Shooting K Baumgärtner, F Messerer, M Diehl 2023 European Control Conference (ECC), 1-7, 2023 | 1 | 2023 |
Moving Horizon Estimation with Adaptive Regularization for Ill-Posed State and Parameter Estimation Problems K Baumgärtner, R Reiter, M Diehl 2022 IEEE 61st Conference on Decision and Control (CDC), 2165-2171, 2022 | 1 | 2022 |
Fourth-order suboptimality of nominal model predictive control in the presence of uncertainty F Messerer, K Baumgärtner, S Lucia, M Diehl IEEE Control Systems Letters, 2024 | | 2024 |
Fast Generation of Feasible Trajectories in Direct Optimal Control D Kiessling, K Baumgärtner, W Decré, J Swevers, M Diehl arXiv preprint arXiv:2403.10115, 2024 | | 2024 |
Progressive Smoothing for Motion Planning in Real-Time NMPC R Reiter, K Baumgärtner, R Quirynen, M Diehl arXiv preprint arXiv:2403.01830, 2024 | | 2024 |
Locally Weighted Regression with Approximate Derivatives for Data-based optimization L Cecchin, K Baumgärtner, S Gering, M Diehl 2023 European Control Conference (ECC), 1-6, 2023 | | 2023 |
Local Convergence Analysis of Damping for Zero-Order Optimization-Based Iterative Learning Control K Baumgärtner, M Diehl 2023 European Control Conference (ECC), 1-6, 2023 | | 2023 |
Local Convergence Behaviour of Generalized Gauss-Newton Multiple Shooting, Single Shooting and Differential Dynamic Programming K Baumgärtner, F Messerer, M Diehl arXiv preprint arXiv:2301.04047, 2023 | | 2023 |
Nonlinear MPC and MHE of a Gasoline Controlled Auto-Ignition Engine based on Reduced-Order Differential Equation Models J De Schutter, E Nuss, K Baumgärtner, D Abel, M Diehl 2022 IEEE 61st Conference on Decision and Control (CDC), 2411-2416, 2022 | | 2022 |